Analyst, Fraud Intelligence

2+ years of experience in fraud analytics, ideally within an e-commerce or retail environment. Prior experience in a startup or high-growth environment is preferred. Bachelor’s degree or higher in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering, Operations Research, Physics). Strong grasp of core data science and analytics concepts (statistical analysis, modeling, data wrangling). Proficiency in SQL. Experience in Python (pandas, NumPy, scikit-learn, etc.). Exceptional communication and stakeholder management skills. High attention to detail, strong intellectual curiosity, and understanding of user behavior and fraud patterns. Empathetic, humble, and collaborative team player.

Analyze behavioral, transactional, and interaction data to uncover fraud signals. Apply business acumen to identify actionable insights and analyze fraud patterns. Influence business cases and pricing strategies. Develop monitoring frameworks, dashboards, and mitigation solutions for emerging fraud threats. Collaborate with leadership, go-to-market, fraud operations, product, and engineering teams. Champion continuous learning, experimentation, and collaboration.